Crop Water Stress Detection Using Soil Moisture and ETo
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Solution Overview
Problem
Agricultural growers face challenges in timely detection of water stress in crops, often recognizing stress only after it has caused yield reduction and visible plant health issues, leading to delayed intervention.
Innovation Solution
A method and system utilizing soil moisture sensors and evapotranspiration data to determine the onset of water stress by comparing actual and predicted daily crop water usage, allowing for automated irrigation control without human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If growers monitor crop stress using traditional methods (visual inspection, yield assessment), then they can identify water stress conditions, but the detection is delayed until after stress has already occurred and caused damage
Solution Approach 1:
The system performs preliminary monitoring of soil moisture levels and calculates predicted crop water usage before actual stress occurs. By continuously tracking soil moisture and comparing it against predicted water usage based on evapotranspiration data, the system detects water stress at its onset, enabling timely irrigation intervention before visible symptoms appear or yield is affected.
2Reliability
If automated irrigation control is implemented based on real-time data, then timely irrigation adjustments can be made to prevent crop damage, but the system complexity increases
Solution Approach 1:
The system establishes a feedback loop where soil moisture sensors continuously monitor actual soil moisture levels, compare them against predicted water usage calculated from evapotranspiration data, and automatically trigger irrigation adjustments when deviations indicate water stress. This closed-loop feedback mechanism enables reliable automated control while keeping the system architecture straightforward through direct sensor-to-controller integration.
Data Source
AI summary
Crops for human and animal consumption of many types are well known by their respective growers. Years of experience in the field provide the grower knowledge about a range of conditions that lead to the full spectrum of crop yields and crop quality, and each grower creates a store of knowledge which they can combine with the available measures of those conditions. This disclosure provides a method for indicating the onset of water stress in one or more plants located in a soil the roots of which are within the measurement zone of a soil moisture sensor located in the soil, by determining from representative data of the daily soil water usage and the evapotranspiration value in the region of the crop each day for a predetermined number of 24 hour periods consecutively prior to a stress determination day d by calculating the line of best fit for the daily crop water usage and recorded ETo for the predetermined number of consecutive 24 hour periods. Calculating the difference of each daily crop water usage from the line of best fit. Determining the statistical standard deviation of the differences of each daily crop water usage value from the line of best fit. Determine a predicted crop water usage for day d using the ETo for day d and the line-of-best fit. Determining whether the difference between the daily crop water usage for day d and the predicted crop water usage for day d, and if the difference is equal to or more than the value V, where the value V is an amount of deviation from the mean where V in an example is the standard deviation. Indicating that a period of water stress of the one or more plants has been entered as of day d to thereby control elements of a crop management arrangement to irrigate or not to irrigate automatically with no human intervention.